TS-EMO
Multi-objective optimizer
An optimization algorithm for multiple conflicting criteria using Gaussian processes and Thompson sampling
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
91 stars
7 watching
16 forks
Language: MATLAB
last commit: over 4 years ago
Linked from 1 awesome list
bayesian-optimizationblack-box-optimizationexpensive-to-evaluate-functionsgaussian-processesgenetic-algorithmskrigingmachine-learningmatlabmulti-objective-optimizationspectral-samplingsurrogate-based-optimizationthompson-sampling
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 51 |
 chudur-budur/nsga2-matlab | A fast implementation of a multi-objective optimization algorithm | 96 |
 maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 888 |
 evanoman/antcolonyoptimization-tsp | An implementation of an Ant Colony Optimization algorithm to solve the Traveling Salesman Problem in MATLAB. | 42 |
 mxgiuliani00/m3o-multi-objective-optimal-operations | A toolbox for designing optimal operations of multipurpose water reservoir systems through various multi-objective optimization methods | 39 |
 khezen/evoli | An implementation of a genetic algorithm and particle swarm optimization in Go to find the maximum value of a 3D function. | 33 |
 intlyc/mto-platform | A platform providing tools and algorithms for optimizing multiple tasks using evolutionary methods. | 126 |
 bimk/platemo | An evolutionary multi-objective optimization platform providing a suite of algorithms and benchmark problems | 1,629 |
 matthewpeterkelly/particleswarmoptimization | An optimization algorithm implementation in Matlab. | 82 |
 heihei12305/mopso | Implementations of Meta-Optimization using Particle Swarm Optimization (MOPSO) in MATLAB, including PSO and MOPSO algorithms. | 144 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 openmole/mgo | A software library for purely functional genetic algorithms with an emphasis on multi-objective optimization and robustness to noisy fitness functions | 71 |
 ziyuw/rembo | An optimization algorithm that uses Bayesian methods and random embeddings to solve complex problems in high-dimensional spaces. | 113 |
 diptiranjan1/pso-vs-woa | A comparison tool for two optimization algorithms | 63 |
 hiroyuki-kasai/sgdlibrary | A collection of stochastic optimization algorithms for large-scale machine learning problems | 218 |